Regularizing ad hoc retrieval scores

  title={Regularizing ad hoc retrieval scores},
  author={Fernando Diaz},
The cluster hypothesis states: closely related documents tend to be relevant to the same request. We exploit this hypothesis directly by adjusting ad hoc retrieval scores from an initial retrieval so that topically related documents receive similar scores. We refer to this process as score regularization. Score regularization can be presented as an optimization problem, allowing the use of results from semi-supervised learning. We demonstrate that regularized scores consistently and… CONTINUE READING
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